Pain Management

BERT-TFBS: a novel BERT-based model for predicting transcription factor binding sites by transfer learning.

Transcription factors (TFs) are proteins essential for regulating genetic transcriptions by binding ...

Performance of ChatGPT Compared to Clinical Practice Guidelines in Making Informed Decisions for Lumbosacral Radicular Pain: A Cross-sectional Study.

To compare the accuracy of an artificial intelligence chatbot to clinical practice guidelines (CPGs...

Implementation of a Clinical, Patient-Level Dashboard at a Mental Health Hospital: Lessons Learned from Two Pilot Clinics.

The Centre for Addiction and Mental Health has implemented mechanisms to standardize routine data co...

A magnetic resonance conditional robot for lumbar spinal injection: Development and preliminary validation.

PURPOSE: This work presents the design and preliminary validation of a Magnetic Resonance (MR) condi...

Annotation of Opioid Use Disorder Entity Modifiers in Clinical Text.

Natural Language Processing can be used to identify opioid use disorder in patients from clinical te...

Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach.

Pain is a common reason for accessing healthcare resources and is a growing area of research, especi...

Refining Muscle Morphometry Through Machine Learning and Spatial Analysis

Muscle morphology provides important information in differentiating the disease aetiology, but its m...

A Pilot Report on Extracting Symptom Onset Date and Time from Clinical Notes in Patients Presenting with Chest Pain

Acute coronary syndrome (ACS) is an acute heart disease that often evolves rapidly. In ACS patients ...

Artificial Intelligence and Family Medicine.

Artificial intelligence (AI) is certainly going to have a large, potentially huge, impact on the pra...

Erector Spinae Plane Block versus Transversus Abdominis Plane Block for Robotic Inguinal Hernia Repair: A Blinded, Active-Controlled, Randomized Trial.

BACKGROUND: Regional anesthetic nerve blocks are widely used in the treatment of pain after outpatie...

ChatGPT's accuracy and patient-oriented answers about fibromyalgia.

Classifying Alzheimer's Disease Neuropathology Using Clinical and MRI Measurements.

BACKGROUND: Computer-aided machine learning models are being actively developed with clinically avai...

Comparative analysis of machine learning models for efficient low back pain prediction using demographic and lifestyle factors.

BACKGROUND: Low back pain (LBP) is one of the most frequently occurring musculoskeletal disorders, a...

Machine Learning in Pain Neuromodulation.

This chapter highlights the intersection of pain neuromodulation and machine learning (ML), explorin...

Skin Changes in Suspected Lyme Disease.

Dear Editor, Ticks carry many diseases, bacteria, and viruses and represent a very important healthc...

Biological activities of crude leaf extract and fractions of Scutellaria sibthorpii (Benth.) Halácsy: An endemic plant of North-Cyprus.

Scutellaria sibthorpii is used in treatment of bacterial infections, pains and inflammations. The le...

A different way to diagnosis acute appendicitis: machine learning.

<b><br>Indroduction:</b> Machine learning is a branch of artificial intelligence b...

Design and implementation of a smart Internet of Things chest pain center based on deep learning.

The data input process for most chest pain centers is not intelligent, requiring a lot of staff to m...

Effects of 0.15% ropivacaine alone and combination with sufentanil on epidural labor analgesia and adverse reactions.

OBJECTIVE: The aim of this study was to compare the impacts of 0.15% ropivacaine alone and 0.15% rop...

Utilizing Deep Learning to Identify an Ultrasound-guided Nerve Block Target Zone.

Ultrasound guided nerve blocks are increasingly being used in perioperative care as a means of safel...

Identification of Subphenotypes of Opioid Use Disorder Using Unsupervised Machine Learning.

This paper aimed to detect the latent clusters of patients with opioid use disorder and to identify ...